Senior Applied Scientist, Workplace Health & Safety

Amazon • Nashville, TN

1d • $158,800 - $226,100 • Onsite

About The Position

We are looking for a Senior Applied Scientist with a proven track record of transforming research into scalable, real-world solutions. You will lead complex scientific initiatives, mentor junior scientists, and drive innovation on some of the most challenging problems in the industry. A successful candidate will be a strategic thinker and technical leader who thrives in ambiguous environments, demonstrates exceptional attention to detail, and excels in a fast-paced, ever-evolving landscape.

Requirements

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 6+ years of building machine learning models or developing algorithms for business application experience
• Knowledge of programming languages such as C/C++, Python, Java or Perl
• Experience with neural deep learning methods and machine learning

Nice To Haves

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Responsibilities

• Own and drive the end-to-end design, development, and deployment of large-scale scientific systems
• Define and lead long-term technical roadmaps that align with Amazon Science's strategic goals
• Mentor and guide Applied Scientists, research interns, and cross-functional team members to elevate the overall technical excellence of the team
• Collaborate with senior Amazon scientists, engineering leaders, and business stakeholders to identify opportunities, define requirements, and deliver impactful solutions at scale
• Publish and present research findings internally and externally, contributing to Amazon's scientific reputation and thought leadership
• Independently identify novel research directions and translate them into production-level systems capable of handling massive datasets and solving previously unsolved problems

Benefits

• sign-on payments
• restricted stock units (RSUs)
• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree